Accurate spatiotemporal monitoring of nutrient cycling in wetlands is critical for conservation. However, traditional field-based methods are often inadequate for capturing the overall dynamics of wetlands. To address this challenge, we developed and... read more
High-pressure hydrogen storage vessels type IV (HPV), made from carbon fiber-reinforced composites, are essential for hydrogen-powered applications due to their strength and light weight. However, they remain vulnerable to internal defects such as po... read more
Reliable, comparable greenhouse gas (GHG) emissions data at the subnational level remain scarce, despite growing expectations for cities and regions to lead on climate action. Inconsistent reporting, methodological variation, and limited coverage of ... read more
We present a comprehensive dataset of dayside auroral emissions observed by the Global-scale Observations of the Limb and Disk (GOLD) mission from October 2018 to June 2025. The dataset contains over 47,000 unique scans of the northern aurora in thre... read more
Modern power systems are subjected to natural disruptions and cyberattacks, both of which have the potential to have catastrophic consequences on the grid's stability and security. Besides, due to the sophistication of cyber-physical threats, includi... read more
Ensuring predictive reliability and automation in smart grids is vital for stable and efficient electricity distribution. This study introduces the StarNet Ensemble Model, a web-based intelligent framework designed to enhance grid stability through a... read more
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder whose progression is closely associated with time. However, most diagnostic models are based on single time-point data, overlooking longitudinal disease characteristics. Structura... read more
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